Battery safety degree estimation method based on naive Bayes theory

Abstract

The invention discloses a battery safety degree estimation method based on a naive Bayes theory, belongs to the field of battery safety degree estimation, and aims to solve the problem that the safetyof a battery cannot be visually quantified and displayed in the prior art. The method comprises the following steps: classifying battery working data, then establishing a naive Bayesian network, anddividing nodes in the network into father nodes, child nodes and intermediate nodes according to the relationship between the nodes and the nodes; etablishing a training set to solve the conditional probability of the occurrence of the intermediate node or the child node and the prior probability of the occurrence of the child node under the condition that the father node occurs; screening out a characteristic factor most related to the battery fault according to the prior probability; calculating a posterior probability according to a naive Bayes theorem and a total probability formula; and establishing a safety degree comparison table according to a naive Bayes classification principle and displaying the safety degree comparison table.

Description

technical field [0001] The invention relates to the field of new energy vehicle batteries, in particular to a method for estimating battery safety based on Naive Bayesian. Background technique [0002] As the pace of commercialization of electric vehicles in the global market is accelerating, the demand for high-power and high-energy power batteries is increasing rapidly, and the safety of power batteries has attracted more and more attention. In recent years, news of accidents such as spontaneous combustion and explosion of lithium batteries in power batteries have occurred from time to time, and the safety of lithium batteries has received more and more attention. At present, my country's lithium battery is still in the initial stage of technology research and development, and there are still many problems in terms of safety. [0003] Lithium-ion battery is a complex electrochemical system, the failure mechanism of the battery is complex, and its failure mode is affected ...

AI Technical Summary

Problems solved by technology

Although the state parameters of the battery such as voltage, current, temperature, etc. can be measured in real time, and its internal resistance, capacity, SOC and other parameters can also be calculated from the measured parameters, the safety of the battery cannot be measured, and it is a factor affected by many factors. The quantity changes at any time, and the guarantee of safety is also a prerequisite for the normal application of the battery system

Safety accidents mainly come from thermal runaway, and there are two main causes of thermal runaway, one is mechanical and electrical causes (caused by accidents such as acupuncture and collisions), and the other is electrochemical causes (overcharge, fast charge, spontaneous short circuit, etc.) ), the thermal runaway of the battery cell is transmitted to adjacent cells, and then spreads over a large area, eventually leading to safety accidents

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